Config files for my GitHub profile.
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
3d point cloud lectern点云乐课堂
A list of references on lidar point cloud processing for autonomous driving
Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.
Robot Vulnerability Database. Community-contributed list of robot vulnerabilities and weaknesses.
LidarView performs real-time visualization and easy processing of live captured 3D LiDAR data from Lidar sensors. Runs on Windows, Linux and MacOS. Contrasting to VeloView (that Kitware develops with Velodyne), it provides experimental algorithms and features, but you may expect LidarView to crash in some situations.
Tools for self-driving car
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
recognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method
Calculate the closest distance to the nearest obstacle using the convex polygons of pointcloud
Formula Student Simulator dedicated for FSD competition
C++ and C multithreading task scheduler
jsk visualization ros packages
Conversion from 3D LiDAR pointcloud to images
Online learning for human classification in 3D LiDAR-based tracking
机器人操作系统ROS 语音视觉控制 雷达建图导航
CloudCompare main repository
Simultaneous Localization and Mapping algorithms for Formula Student Driverless at Technion